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authorBen Quigley <benquigleyconsulting@gmail.com>2018-02-27 09:38:40 -0500
committerGitHub <noreply@github.com>2018-02-27 09:38:40 -0500
commit27bf16ac1289cde688066a624a264432ba4baffa (patch)
tree9d4a74e05a59bd34139f0cca0af02d9a8e2bffce /pythonstatcomp.html.markdown
parent999e0ce3d7bdcfdb87a9c0ca7515efce2eff50a2 (diff)
IPython notebooks are Jupyter notebooks now
IPython still exists, but the notebooks have been spun off into their own project called Jupyter. This file change: * updates the pip install queue so that Jupyter gets installed * removes the vague "get set up with IPython" (pip will install IPython with Jupyter), and * replaced the suggestion to work in "the IPython notebook" with "a Jupyter notebook".
Diffstat (limited to 'pythonstatcomp.html.markdown')
-rw-r--r--pythonstatcomp.html.markdown7
1 files changed, 4 insertions, 3 deletions
diff --git a/pythonstatcomp.html.markdown b/pythonstatcomp.html.markdown
index 79bbcd8d..6dde1cf0 100644
--- a/pythonstatcomp.html.markdown
+++ b/pythonstatcomp.html.markdown
@@ -13,10 +13,11 @@ This is a tutorial on how to do some typical statistical programming tasks using
# 0. Getting set up ====
-""" Get set up with IPython and pip install the following: numpy, scipy, pandas,
+""" To get started, pip install the following: jupyter, numpy, scipy, pandas,
matplotlib, seaborn, requests.
- Make sure to do this tutorial in the IPython notebook so that you get
- the inline plots and easy documentation lookup.
+ Make sure to do this tutorial in a Jupyter notebook so that you get
+ the inline plots and easy documentation lookup. The shell command to open
+ one is simply `jupyter notebook`, then click New -> Python.
"""
# 1. Data acquisition ====